Rexer Analytics 5th Annual Data Mining Survey

Rexer Analytics, a data mining consulting firm, is conducting its fifth annual survey of the analytic behaviors, views, and preferences of data mining professionals. You are invited to participate in this year's survey.

STATISTICA has consistently ranked very high in this annual survey and we appreciate the support our users that has brought us this recognition. If you would like to see a summary of StatSoft's position in last year's survey, visit http://statsoft.com/company/reviews/2011-published-reviews/#rexer

To participate, click on the link below and enter the access code in the space provided. The survey should take approximately 15 minutes to complete.

Survey Link: www.RexerAnalytics.com/Data-Miner-Survey-2011-Intro2.html
Access Code: R62L2

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DELPHI Automotive: "The Return on Investment [in STATISTICA] is extremely fast!"

In a technical summary brief released by DELPHI Automotive (one of the world's largest multinational manufacturers of auto parts), STATISTICA Enterprise - used at Delphi for process control and reducing waste - has been praised for tangible savings it produces as an integral part of DELPHI's quality improvement/monitoring and optimization initiatives. Dan Boieriu, a Senior Quality Manager has stated also that "The Return on Investment (ROI) for the software is extremely fast!"

Read the full case study>>

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Spotlight Blog on Jonathan Polon

Recently I sat down with Jonathan Polon, and he took a moment to discuss his use of STATISTICA. Jonathan Polon is one of the founders of Claim Analytics. They provide in-depth expertise in advanced predictive modeling to major insurance companies to assist with claim scoring, pricing, reserving, and fraud detection.

1. 1. What is your background (career, education, etc.)?
   Bachelor of Science in Actuarial Mathematics, University of Michigan, 1994. Fellow of the Society of Actuaries, 1999.
2. 2. How do you use STATISTICA? Which modules?
   We use STATISTCA to build predictive models for...

Read the full interview with Jonathan Polon>>

How to Show Grouping in Scatterplots

A scatterplot shows the relationship between continuous variables. Showing a grouping factor in this plot adds another dimension and can greatly enhance a plot's usefulness. This article will explore two ways of showing a grouping variable in a scatterplot. The difference between the two methods is the fit line. One method uses one fit for all levels of a grouping factor, but shows the levels with point marker colors and patterns. The other method will fit separate lines for each group.

Read the full example>>

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